Visualizing the change of human mobility to national government measures and its compliance during COVID-19 in high-risk local authorities of England
dc.contributor.advisor
Zhiqiang, Feng
dc.contributor.author
Zhao, Xuanyi
dc.date.accessioned
2022-05-03T14:41:05Z
dc.date.available
2022-05-03T14:41:05Z
dc.date.issued
2021-10
dc.description.abstract
The COVID-19 pandemic is still a severe public health issue around the world, including England. This research was aimed to examine the relationship between the cases growing and mobilities of people during the second national lockdown of England. Firstly, it has examined the cases spatial distribution among all local authorities in England, then used hotspot analysis to find local authorities with higher risks (HRLA), regarded them as the research main focus. Secondly, cases data from England Official Government have been manipulated to indicate the growing pattern for all HRLA. Thirdly, several types of mobilities from Google Mobility have been measured through high-risk local authorities, and their relationship with cases growing patterns were discovered using regression analysis.
Results indicated that both cases and mobilities were reduced in certain period of time especially during the second national lockdown, however the relationship between mobilities and case growing was not obvious.
en
dc.identifier.uri
https://hdl.handle.net/1842/38947
dc.identifier.uri
http://dx.doi.org/10.7488/era/2199
dc.language.iso
en
en
dc.publisher
The University of Edinburgh
en
dc.subject
COVID-19
dc.subject
Google Mobility
dc.subject
mobilities
dc.subject
cases
dc.subject
regression analysis
dc.subject
hotspot analysis
dc.subject
England
dc.title
Visualizing the change of human mobility to national government measures and its compliance during COVID-19 in high-risk local authorities of England
en
dc.type
Thesis or Dissertation
en
dc.type.qualificationlevel
Masters
en
dc.type.qualificationname
MSc Master of Science
en
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